Title:	Using the Adaptive HistoPyramid to Enhance Performance of Surface Extraction in 3D Medical Image Visualisation
Authors:	Padinjarathala, Antony Sadleir, Robert
Citation:	WSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 331-339.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/54441
ISBN:	978-80-86943-32-9
ISSN:	2464–4617 (print) 2464–4625 (CD/DVD)
Keywords:	povrchová extrakce;HistoPyramid;paralelní zpracování;CUDA;kostky
Keywords in different language:	marching cubes;surface extraction;HistoPyramid;parallel processing;CUDA
Abstract in different language:	There are currently a range of different approaches for extracting iso-surfaces from volumetric medi cal image data. Of these, the HistoPyramid appears to be one of the more promising options. This is due to its use of stream compaction and expansion which facilitates extremely efficient traversal of the HistoPyramid structure. This paper introduces a novel extension to the HistoPyramid concept that entails incorporating a variable reduction between the HP layers in order to better fit volumes with arbitrary dimensions, thus saving memory and improving performance. As with the existing HistoPy ramid techniques, the adaptive version lends itself to implementation on the GPU which in turn leads to further performance improvements. Ultimately, when compared against the best performing existing HistoPyramids, the adaptive approach yielded a performance improvement of up to 20% without any impact on the accuracy of the extracted mesh.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2023: Full Papers Proceedings

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